Artificial Intelligence for Sustainable Managerial Excellence: Transforming Human Resource Practices in Modern Organizations
Dr. B. Shanthini
Associate Professor
Department of Management Studies
Kangeyam Institute of Technology, Nathakadaiyur, Tamil Nadu
S. Sashmitha
I-MBA
Department of Management Studies
Kangeyam Institute of Technology, Nathakadaiyur, Tamil Nadu
D. Sri Iswariya
I-MBA
Department of Management Studies
Kangeyam Institute of Technology, Nathakadaiyur, Tamil Nadu
Abstract
Artificial Intelligence (AI) is transforming modern organizational environments by enabling advanced analytics, automation, and intelligent decision-making. Organizations are increasingly adopting AI technologies to improve efficiency, enhance workforce productivity, and achieve sustainable managerial excellence. This conceptual paper explores how AI reshapes human resource management (HRM) practices and supports sustainable business strategies in modern organizations.
The study integrates perspectives from sustainability management, digital transformation, HR analytics, and organizational behavior. AI-driven recruitment, performance management, employee engagement, workforce analytics, and strategic planning are examined as core drivers of managerial excellence. Sustainable managerial excellence is conceptualized as long-term organizational success achieved through ethical governance, innovation, employee well-being, and responsible resource use.
The paper proposes a conceptual framework linking AI adoption with sustainable HR practices and organizational outcomes such as innovation capability, productivity, and resilience. Ethical challenges including algorithmic bias, data privacy risks, and workforce adaptation are critically discussed. The study highlights the importance of human-centered AI implementation supported by ethical leadership and governance frameworks.
Keywords
Artificial Intelligence, Sustainable Management, Human Resource Management, Managerial Excellence, HR Analytics, Digital Transformation, Organizational Sustainability
